Process / pipelinedimension-reduction
因子分析
因子分析是一种统计技术，用于识别潜在（未观测）维度，这些维度是观测变量的基础。该技术由 Louis Leon Thurstone 在 20 世纪 30 年代开发，并由 Jöreskog (1969) 正式化。探索性因子分析 (EFA) 从数据中发现未知的因子结构；验证性因子分析 (CFA) 检验观测变量与潜在变量之间假设的关系。因子分析在心理测量学（测验开发）、组织研究（测量领导风格等构念）和生物医学（识别疾病亚型）中至关重要，它在降低维度的同时揭示了多元数据中的概念组织。
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来源
- Thurstone, L. L. (1947). Multiple Factor Analysis. University of Chicago Press. DOI: 10.2307/2304512 ↗
- Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI: 10.1007/BF02289343 ↗
- Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. DOI: 10.1177/001316446002000116 ↗
如何引用本页
ScholarGate. (2026, June 4). Exploratory and Confirmatory Factor Analysis. ScholarGate. https://scholargate.app/zh/research-statistics/factor-analysis
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